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Application of Unidimensional Item Response Theory Models to Multidimensional Data

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Drasgow, Fritz, Parsons, Charles K.·1983·Applied Psychological Measurement

Abstract

A simulation model was developed for generating item responses from a multidimensional latent trait space The model permits the prepotency of a general latent trait underlying responses to all simulated items to be varied systematically. Five levels of prepotency were used to generate data sets The levels of prepo tency ranged from a truly unidimensional latent trait space to a very weak general latent trait. Simulated item pools with guessing and without guessing were analyzed by the LOGIST computer program The gen eral latent trait was recovered in data sets where the prepotency of the general latent trait was only moder ate. Consequently, it appears that item response theory models can be applied to moderately heterogenous item pools under the conditions simulated here.

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Metadata

Authors
Drasgow, F., & Parsons, C. K.
Venue
Applied Psychological Measurement
Published
1983-04
Volume
7
Issue
2
Pages
189-199
ISSN
  • 0146-6216 (ISSN-L)
  • 1552-3497
OpenAlex
W1999424009
Cited by
241
References
1
FWCI
8.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Application of Unidimensional Item Response Theory Models to Multidimensional Data. https://app.cochat.ai/papers/10.1177/014662168300700207
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Drasgow, F., & Parsons, C. K. (1983). Application of Unidimensional Item Response Theory Models to Multidimensional Data. Applied Psychological Measurement. https://doi.org/10.1177/014662168300700207

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